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JMLR
2006
389views more  JMLR 2006»
15 years 6 months ago
A Very Fast Learning Method for Neural Networks Based on Sensitivity Analysis
This paper introduces a learning method for two-layer feedforward neural networks based on sensitivity analysis, which uses a linear training algorithm for each of the two layers....
Enrique Castillo, Bertha Guijarro-Berdiñas,...
ALGOSENSORS
2004
Springer
16 years 1 days ago
Multi: A Hybrid Adaptive Dissemination Protocol for Wireless Sensor Networks
Abstract. Data dissemination (routing) is a basic function in wireless sensor networks. Dissemination algorithms for those networks depend on the characteristics of the application...
Carlos Mauricio S. Figueiredo, Eduardo Freire Naka...
IMECS
2007
15 years 8 months ago
Metamodel-Assisted Global Search Using a Probing Technique
—This paper presents a new metamodel-assisted metaheuristic algorithm for optimisation problems involving computationally expensive simulations. The algorithm, called Global Prob...
Anna Persson, Henrik Grimm, Amos Ng
CORR
2008
Springer
138views Education» more  CORR 2008»
15 years 6 months ago
Computing Minimum Spanning Trees with Uncertainty
Abstract. We consider the minimum spanning tree problem in a setting where information about the edge weights of the given graph is uncertain. Initially, for each edge e of the gra...
Thomas Erlebach, Michael Hoffmann 0002, Danny Kriz...

Publication
400views
15 years 1 months ago
Partitioning Histopathological Images: An Integrated Framework for Supervised Color-Texture Segmentation and Cell Splitting
For quantitative analysis of histopathological images, such as the lymphoma grading systems, quantification of features is usually carried out on single cells before categorizing...
Hui Kong, Metin Gurcan, and Kamel Belkacem-Boussai...